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겉뿌림 산지초지에서 목초 파종량이 초지의 생산성 및 식생구성에 미치는 영향

The Effects of Seeding Rate of Seed Mixture on Productivity and Botanical Composition in Oversown Hilly Pasture

  • 정종성 (농촌진흥청 국립축산과학원) ;
  • 김종근 (서울대학교 국제농업기술대학원) ;
  • 김현섭 (농촌진흥청 국립축산과학원) ;
  • 박형수 (농촌진흥청 국립축산과학원) ;
  • 최기춘 (농촌진흥청 국립축산과학원) ;
  • 지희정 (농촌진흥청 국립축산과학원) ;
  • 최기준 (농촌진흥청 국립축산과학원) ;
  • 오승민 (농촌진흥청 국립축산과학원)
  • Jung, Jeong Sung (National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Jong Geun (Graduate School of International Agricultural Technology, Seoul National University) ;
  • Kim, Hyeon Shup (National Institute of Animal Science, Rural Development Administration) ;
  • Park, Hyung Soo (National Institute of Animal Science, Rural Development Administration) ;
  • Choi, Ki Choon (National Institute of Animal Science, Rural Development Administration) ;
  • Ji, Hee Jung (National Institute of Animal Science, Rural Development Administration) ;
  • Choi, Gi Jun (National Institute of Animal Science, Rural Development Administration) ;
  • Oh, Seung Min (National Institute of Animal Science, Rural Development Administration)
  • 투고 : 2018.01.16
  • 심사 : 2018.03.07
  • 발행 : 2018.03.31

초록

본 연구는 산지초지에서 목초 파종량이 초지의 연차별 식생 및 생산성에 미치는 영향을 구명하고 산지초지 조성에 적합한 파종량을 설정하고자 2015년 8월부터 2017년 10월까지 평창군의 서울대학교 국제농업기술대학원과 천안시의 국립축산과학원 축산자원개발부 2개소에서 수행되었다. 처리는 총 4처리로 T1: 기준 파종량 대비 50%감량, T2: 기준 파종량(평창 $37kg\;ha^{-1}$, 천안 $34kg\;ha^{-1}$), T3: 기준 파종량 대비 50% 증량, T4: 기준 파종량 대비 100%증량 이었다. 월동 후 생육조사에서 T1이 목초 63%, 잡초 24%, 나지 13%로 가장 불량하였으며 T3와 T4는 목초 90%이상으로 매우 우수한 식생을 보였다. 분얼은 T1이 6.53개 (본/주)로 가장 높게 나타났고 T4가 4.49개(본/주)로 가장 낮게 나타났다. 정착 개체수는 T4가 62개($30{\times}30cm$)개로 가장 높게 나타났으며 T1이 44 ($30{\times}30cm$)개로 가장 낮게 나타났다. 정착률은 T1에서 92%로 가장 높았고 T4에서 79%로 가장 낮게 나타났다. 목초 식생은 2016에서 T2, T3, T4에서 목초 비율이 87~100%로 우수한 식생을 보였고 T1의 경우 목초 비율이 75~92%정도로 나타났다. 2017년도 목초 식생은 T1의 경우 1차 예취시기에서는 목초비율이 91% 였지만 4차 예취시기에서 75%까지 떨어졌다. 2017년 T2, T3, T4에서 목초의 비율은 79~95%의 양호한 식생을 유지하였다. 초장의 경우 유의적상관관계가 나타나지 않았다. 2016년 목초 건물 생산성은 T4 ($13,576kg\;ha^{-1}$)와 T3($12,727kg\;ha^{-1}$)가 가장 높았고 상대적으로 T1 ($9,583kg\;ha^{-1}$)과 T2 ($10,925kg\;ha^{-1}$)에서 낮게 나타났다(p<0.05). 2017년 전체 건물 생산성을 보면 T3 ($9,598kg\;ha^{-1}$)와 T4 ($9,294kg\;ha^{-1}$)가 가장 높았고 상대적으로 T1 ($6,809kg\;ha^{-1}$)과 T2 ($8,117kg\;ha^{-1}$)에서 낮게 나타났다(p<0.05). 2016년과 2017년 전체건물수량을 종합해보면 T4 ($11,435kg\;ha^{-1}$)와 T3 ($11,162kg\;ha^{-1}$)가 상대적으로 T1 ($8,196kg\;ha^{-1}$)과 T2 ($9,521kg\;ha^{-1}$)보다 높게 나타났다(p<0.05). 이상의 결과를 종합해 볼 때 겉뿌림 산지초지 조성시 기준량 대비 50%에서 100%증량은 목초의 정착률 및 생산성을 높이는 효과가 있었다.

This study was conducted to explore the effects of seeding rate of a seed mixture on grassland productivity and botanical composition. Seeding rates were composed of four different treatments varying by the amount of seed: T1, 50% decrease in seeding rate from standard; T2, standard seeding rate; T3, 50% increase in seeding rate from standard; and T4, 100% increase in seeding rate from standard. In 2016, seasonal changes in grass botanical composition revealed T2, T3, and T4 in portion of grass ratio were the highest with a range of 87-100%, whereas T1 was the lowest of all treatments. In 2017, the botanical composition in T1 showed that the grass ratio in of the first cutting was 91%, but in the fourth cutting its ratio decreased by 75%. The results from both years were combined for each treatment, T4 ($11,435kg\;ha^{-1}$) and T3 ($11,162kg\;ha^{-1}$) demonstrated the highest dry matter yield of the treatments (T1: $8,196kg\;ha^{-1}$; T2: $9,521kg\;ha^{-1}$) (p<0.05). As a result, a 50-100% increase in the seeding rate from the standard demonstrated the best grassland yield and botanical composition.

키워드

참고문헌

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